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A contribution to the applicability of complex wavelet analysis of ultrasonic signals

机译:对超声信号的复杂小波分析的适用性做出贡献

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摘要

Ultrasonic signal is always composed of a series of transient feedback impulsive waves, which are created during the propagation of ultrasonic energy when it meets the discontinuities within the material, such as inclusions, voids, micro-cracks, the surface of the object being inspected and so on. Complex wavelet based envelope detection method was designed to extract the impulsive features contained in the signal. The complex wavelet based correlation analysis was further proposed for distinguishing the 'real impulsive waveform' that indicates the object being searched from a number of unrecognized disturbing waveforms also presented in the signal. The effectiveness of both methods was proved by practical experiments on a common tube sample. The experiments proved that, by using the proposed methods, the impulsive waveform that really indicates the end surface of the tube could be distinguished successfully. With the aid of the analysed results and the calibration equation, the relative distance between the position where the transducer was placed and the end surface of the tube could be identified correctly. It is believed that the proposed methods will be widely applied to the analysis of ultrasonic signals.
机译:超声波信号始终由一系列瞬态反馈脉冲波组成,这些脉冲波在超声波能量传播过程中遇到材料中的不连续性(例如夹杂物,空隙,微裂纹,被检查物体的表面和以此类推。设计了基于复杂小波的包络检测方法,以提取信号中包含的脉冲特征。进一步提出了基于复杂小波的相关性分析,以从信号中还存在的许多无法识别的干扰波形中区分出“实际脉冲波形”,该波形表示正在搜索的对象。通过在普通试管样品上进行的实际实验证明了这两种方法的有效性。实验证明,通过所提出的方法,可以成功地区分出真正指示管端面的脉冲波形。借助于分析的结果和校准方程式,可以正确地确定换能器放置位置与管子端面之间的相对距离。相信所提出的方法将被广泛地应用于超声信号的分析。

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